show_results.py

#!/usr/bin/env python3
"""
Simple script to show IAM Analyzer results without Unicode issues
"""

import json
import sys
from pathlib import Path

# Add src directory to path
sys.path.insert(0, str(Path(__file__).parent / "src"))
from analyzer import IAMAnalyzer
from iam_parser import IAMParser


def main():
    """Show IAM Analyzer results in a readable format"""
    
    print("=" * 60)
    print("RedColors IAM Analyzer - Results Viewer")
    print("=" * 60)
    print("SAFETY WARNING: This tool processes simulated IAM data only.")
    print("   No real cloud resources are accessed or modified.")
    print()
    
    # Load sample IAM data
    iam_file = Path(__file__).parent / "examples" / "iam.json"
    
    try:
        print("Loading IAM data from:", iam_file)
        parser = IAMParser.load_from_file(str(iam_file))
        print("IAM data loaded successfully")
        print()
        
        # Create analyzer
        print("Creating IAM Analyzer...")
        analyzer = IAMAnalyzer(parser)
        print("Analyzer created successfully")
        print()
        
        # Build complete trust graph
        print("Building complete trust graph...")
        trust_graph = analyzer.build_complete_trust_graph()
        print(f"Trust graph built: {len(trust_graph['nodes'])} nodes, {len(trust_graph['edges'])} edges")
        print()
        
        # Show detailed node information
        print("DETAILED NODE ANALYSIS:")
        print("-" * 40)
        
        for node in trust_graph['nodes']:
            print(f"Entity: {node['label']} ({node['id']})")
            print(f"  Type: {node['type']}")
            print(f"  Risk Level: {node['risk_level']}")
            print(f"  Color: {node['color']}")
            print(f"  Permissions: {len(node['permissions'])}")
            if node['permissions']:
                print(f"    - {', '.join(node['permissions'][:3])}")
                if len(node['permissions']) > 3:
                    print(f"    - ... and {len(node['permissions']) - 3} more")
            print()
        
        # Show detailed edge information
        print("DETAILED EDGE ANALYSIS:")
        print("-" * 40)
        
        for edge in trust_graph['edges']:
            print(f"Relationship: {edge['from']} -> {edge['to']}")
            print(f"  Type: {edge['type']}")
            print(f"  Label: {edge['label']}")
            print(f"  Color: {edge['color']}")
            print(f"  Risk Weight: {edge['weight']:.2f}")
            if edge['conditions']:
                print(f"  Conditions: {edge['conditions']}")
            print()
        
        # Find escalation paths
        print("ESCALATION PATH ANALYSIS:")
        print("-" * 40)
        escalation_paths = analyzer.find_all_escalation_paths(max_depth=5)
        print(f"Found {len(escalation_paths)} escalation paths")
        
        if escalation_paths:
            for i, path in enumerate(escalation_paths[:3], 1):
                print(f"Path {i}: {path['start_entity']} -> {path['target_entity']}")
                print(f"  Type: {path['escalation_type']}")
                print(f"  Risk Score: {path['risk_score']:.1f}")
                print(f"  Steps: {len(path['path'])}")
                print()
        else:
            print("No privilege escalation paths found - good security posture!")
        print()
        
        # Generate and show report
        print("SECURITY RECOMMENDATIONS:")
        print("-" * 40)
        report = analyzer.generate_analysis_report()
        
        if report['recommendations']:
            for i, rec in enumerate(report['recommendations'], 1):
                print(f"{i}. {rec}")
        else:
            print("No specific recommendations - security posture looks good!")
        print()
        
        # Show statistics
        print("FINAL STATISTICS:")
        print("-" * 40)
        stats = analyzer.get_statistics()
        print(f"Total Entities: {stats['total_entities']}")
        print(f"Total Relationships: {stats['total_relationships']}")
        print(f"Escalation Paths: {stats['escalation_paths']}")
        print(f"High-Risk Entities: {stats['high_risk_entities']}")
        print()
        
        print("Analysis completed successfully!")
        print()
        print("SAFETY REMINDER:")
        print("   This analysis was performed on simulated IAM data only.")
        print("   No real cloud resources were accessed or modified.")
        print("   All findings are for training and educational purposes.")
        
    except Exception as e:
        print(f"Error: {e}")
        return 1
    
    return 0


if __name__ == "__main__":
    exit(main())